calc_error_relative_to_nontargets: Calculate response error relative to non-target values

In bmm: Easy and Accessible Bayesian Measurement Models Using 'brms'

Calculate response error relative to non-target values

Description

Given a vector of responses, and the values of non-targets, this function computes the error relative to each of the non-targets.

Usage

calc_error_relative_to_nontargets(data, response, nt_features)

Arguments

data	A data.frame object where each row is a single observation
response	Character. The name of the column in data which contains the response
nt_features	Character vector. The names of the columns in data which contain the values of the non-targets

Value

A data.frame with n*m rows, where n is the number of rows of data and m is the number of non-target variables. It preserves all other columns of data, except for the non-target locations, and adds a column y_nt, which contains the transformed response error relative to the non-targets

Examples

data <- oberauer_lin_2017
data <- calc_error_relative_to_nontargets(data, "dev_rad", paste0("col_nt", 1:7))
hist(data$y_nt, breaks = 100)

bmm documentation built on May 29, 2024, 11:52 a.m.